Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Query FDA data on drugs, food, devices, and recalls via openFDA. STDIO or Streamable HTTP.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
OPENFDA_API_KEY, CANVAS_PROVIDER_TYPE, OPENFDA_DATAFRAME_DROP_ENABLED, OPENFDA_MIRROR_ENABLED, OPENFDA_MIRROR_PATH, OPENFDA_MIRROR_REFRESH_CRON, OPENFDA_MIRROR_FALLBACK_LIVE, OPENFDA_MIRROR_REFRESH_TIMEOUT_MS, OPENFDA_MIRROR_BASE_URL, MCP_LOG_LEVELYou need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Works in Claude on the web, desktop and mobile:
https://openfda.caseyjhand.com/mcpOpen Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"openfda": {
"command": "npx",
"args": [
"-y",
"@cyanheads/openfda-mcp-server"
],
"env": {
"OPENFDA_API_KEY": "your-value",
"CANVAS_PROVIDER_TYPE": "your-value",
"OPENFDA_DATAFRAME_DROP_ENABLED": "your-value",
"OPENFDA_MIRROR_ENABLED": "your-value",
"OPENFDA_MIRROR_PATH": "your-value",
"OPENFDA_MIRROR_REFRESH_CRON": "your-value",
"OPENFDA_MIRROR_FALLBACK_LIVE": "your-value",
"OPENFDA_MIRROR_REFRESH_TIMEOUT_MS": "your-value",
"OPENFDA_MIRROR_BASE_URL": "your-value",
"MCP_LOG_LEVEL": "your-value"
}
}
}
}Run this in your terminal
claude mcp add --transport http openfda https://openfda.caseyjhand.com/mcpclaude mcp add openfda --env OPENFDA_API_KEY=your-value --env CANVAS_PROVIDER_TYPE=your-value --env OPENFDA_DATAFRAME_DROP_ENABLED=your-value --env OPENFDA_MIRROR_ENABLED=your-value --env OPENFDA_MIRROR_PATH=your-value --env OPENFDA_MIRROR_REFRESH_CRON=your-value --env OPENFDA_MIRROR_FALLBACK_LIVE=your-value --env OPENFDA_MIRROR_REFRESH_TIMEOUT_MS=your-value --env OPENFDA_MIRROR_BASE_URL=your-value --env MCP_LOG_LEVEL=your-value -- npx -y @cyanheads/openfda-mcp-serverFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"openfda": {
"url": "https://openfda.caseyjhand.com/mcp"
}
}
}Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"openfda": {
"command": "npx",
"args": [
"-y",
"@cyanheads/openfda-mcp-server"
],
"env": {
"OPENFDA_API_KEY": "your-value",
"CANVAS_PROVIDER_TYPE": "your-value",
"OPENFDA_DATAFRAME_DROP_ENABLED": "your-value",
"OPENFDA_MIRROR_ENABLED": "your-value",
"OPENFDA_MIRROR_PATH": "your-value",
"OPENFDA_MIRROR_REFRESH_CRON": "your-value",
"OPENFDA_MIRROR_FALLBACK_LIVE": "your-value",
"OPENFDA_MIRROR_REFRESH_TIMEOUT_MS": "your-value",
"OPENFDA_MIRROR_BASE_URL": "your-value",
"MCP_LOG_LEVEL": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"openfda": {
"type": "http",
"url": "https://openfda.caseyjhand.com/mcp"
}
}
}Paste into .vscode/mcp.json in your project
{
"servers": {
"openfda": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@cyanheads/openfda-mcp-server"
],
"env": {
"OPENFDA_API_KEY": "your-value",
"CANVAS_PROVIDER_TYPE": "your-value",
"OPENFDA_DATAFRAME_DROP_ENABLED": "your-value",
"OPENFDA_MIRROR_ENABLED": "your-value",
"OPENFDA_MIRROR_PATH": "your-value",
"OPENFDA_MIRROR_REFRESH_CRON": "your-value",
"OPENFDA_MIRROR_FALLBACK_LIVE": "your-value",
"OPENFDA_MIRROR_REFRESH_TIMEOUT_MS": "your-value",
"OPENFDA_MIRROR_BASE_URL": "your-value",
"MCP_LOG_LEVEL": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
ChatGPT connects only to servers on the internet:
https://openfda.caseyjhand.com/mcpMenu names can differ slightly by plan and over time.
Your choice stays on this device in a cookie; no account needed.
OPENFDA_API_KEY envCANVAS_PROVIDER_TYPE envOPENFDA_DATAFRAME_DROP_ENABLED envOPENFDA_MIRROR_ENABLED envOPENFDA_MIRROR_PATH envOPENFDA_MIRROR_REFRESH_CRON envOPENFDA_MIRROR_FALLBACK_LIVE envOPENFDA_MIRROR_REFRESH_TIMEOUT_MS envOPENFDA_MIRROR_BASE_URL envMCP_LOG_LEVEL envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Tool names and descriptions exactly as the server reported them on Nov 7, 2026. The maker wrote them, not us; we show them as plain text.
openfda_search_adverse_eventsSearch adverse event reports across drugs, food, and devices. Use to investigate safety signals, find reports for a specific product, or explore reactions by demographics. With stage=true, call openfda_dataframe_describe for the staged columns, then openfda_dataframe_query for SQ
openfda_search_animal_eventsSearch adverse event reports for veterinary drugs and devices submitted to the FDA Center for Veterinary Medicine. Records include animal species, breed, age, weight, drug name and route, adverse reactions (using VeDDRA terminology), and outcome. Use to investigate safety signals
openfda_search_drug_shortagesSearch FDA drug shortage records. Returns per-product shortage status, availability, therapeutic category, dosage form, manufacturer, and dates. Use to check whether a drug is currently in shortage, find all oncology drugs with supply issues, or retrieve the openfda block (brand_
openfda_search_recallsSearch enforcement reports and recall actions across drugs, food, and devices. With stage=true, call openfda_dataframe_describe for the staged columns, then openfda_dataframe_query for SQL.
openfda_search_tobacco_reportsSearch problem reports submitted to the FDA for tobacco products, including e-cigarettes, vaping products, cigarettes, and smokeless tobacco. Reports capture product type, reported health problems (e.g. seizure, chest pain), product problems (e.g. exploding battery), whether a no
openfda_count_valuesAggregate and tally unique values for any field across any openFDA endpoint. Returns ranked term-count pairs sorted by count descending; a date field tallies one term per distinct YYYYMMDD date, ranked the same way. Pair with openfda_search_adverse_events, openfda_search_drug_app
openfda_describe_fieldsReturn the searchable field paths for an openFDA endpoint, grouped by category with type and description. Use before constructing a search query to find the correct dotted field path — field names differ per endpoint and are not discoverable from the tool schema alone.
openfda_get_drug_labelLook up FDA drug labeling (package inserts / SPL documents). Check indications, warnings, dosage, contraindications, active ingredients, or any structured label section. A label runs to tens of thousands of tokens, so a page that exceeds the inline budget returns the list of avai
openfda_search_drug_approvalsSearch the Drugs@FDA database for drug application approvals (NDAs and ANDAs). Returns application details, sponsor info, and full submission history. Pair with openfda_get_drug_label to read the approved label, or openfda_count_values to aggregate by sponsor_name, product_type,
openfda_search_device_clearancesSearch FDA device premarket notifications — 510(k) clearances and PMA approvals. With stage=true, call openfda_dataframe_describe for the staged columns, then openfda_dataframe_query for SQL.
openfda_lookup_ndcLook up drugs in the NDC (National Drug Code) Directory. Identify drug products by NDC code, find active ingredients, packaging details, or manufacturer info. Pair with openfda_get_drug_label using the returned brand_name or set_id to read the package insert. With stage=true, cal
openfda_drug_profileResolve one drug name to its FDA identity, then fan out in parallel across the bounded per-drug openFDA endpoints and merge into one profile: identity, label highlights, adverse-event summary, recall history, Drugs@FDA approval, and shortage status. Replaces chaining openfda_get_
openfda_dataframe_describeList the tables and column schemas on a DataCanvas staged by an openFDA search tool. Call before openfda_dataframe_query to discover the exact table name, column names, and DuckDB types needed for valid SQL. row_count is the full staged result set, not the inline preview count. C
openfda_dataframe_queryRun a read-only SQL SELECT against a DataCanvas table staged by an openFDA search tool (call one with stage=true; its response carries canvas_id + canvas_table). Enables GROUP BY, COUNT/SUM/AVG, time-series, and joins across the staged result set without re-paging the API. Call o
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account cyanheads, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Responded in 443 ms (HTTP 200)
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Read 14 tool descriptions and found no hidden instructions to the AI
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
Either way works: install it on your computer or connect to the cloud version.
The GitHub repo last changed –, and the latest version (0.9.1) reached the registry 11 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
In the same category: Spec Driven Development, Remote Desktop Commander, LexPact UK Contracts
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
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@cyanheads/openfda-mcp-server Query FDA data on drugs, food, devices, and recalls via openFDA. STDIO or Streamable HTTP. 15 Tools
Public Hosted Server: https://openfda.caseyjhand.com/mcp
FDA data on drugs, food, devices, and recalls from the openFDA public API. Search adverse events, recalls, drug approvals, and device clearances; look up NDC codes and drug labels; aggregate field counts across any endpoint.
| Tool | Description |
|---|---|
openfda_drug_profile | One drug name → consolidated FDA profile: identity, label, adverse events, recalls, approval, shortage |
openfda_search_adverse_events | Search adverse event reports across drugs, food, and devices |
openfda_search_animal_events | Search adverse event reports for veterinary drugs and devices |
openfda_search_drug_shortages | Search FDA drug shortage records by status, availability, therapeutic category, manufacturer |
openfda_search_tobacco_reports | Search problem reports for tobacco products, e-cigarettes, and vaping devices |
openfda_search_recalls | Search enforcement reports and recall actions across drugs, food, and devices |
openfda_count_values | Aggregate and tally unique values for any field across any openFDA endpoint |
openfda_describe_fields | Return searchable field paths for an openFDA endpoint, grouped by category |
openfda_get_drug_label | Look up FDA drug labeling (package inserts / SPL documents) |
openfda_search_drug_approvals | Search the Drugs@FDA database for NDA/ANDA application approvals |
openfda_search_device_clearances | Search FDA device premarket notifications: 510(k) clearances and PMA approvals |
openfda_lookup_ndc | Look up drugs in the NDC (National Drug Code) Directory |
openfda_dataframe_describe | List tables and column schemas staged on a DataCanvas |
openfda_dataframe_query | Run read-only SQL over a result set staged on a DataCanvas |
openfda_dataframe_drop | Delete one table staged on a DataCanvas (opt-in, off by default) |
openfda_drug_profile tooldrug name, brand or generic, resolved once to an identity (generic name, NDC, RxCUI, SPL set ID); recalls, approval, and shortage key on meta.fanOutKey — the typed name when it is an ingredient of the resolved generic, else that generic; meta.resolvedVia (label, ndc, none) names the source, and a single-ingredient product is preferred over combinationsproduct_description, products.active_ingredients.name); recalls_total gives the match count beside the newest 5 recallslabel, adverse_events, recalls, approval, and shortage are best-effort and come back null (or an empty recalls) on a miss; degraded[] names each section whose sub-query failed upstream, so a listed section is unknown rather than absentopenfda_search_adverse_events toolcategory (drug, food, device) selects the endpoint and its record schema; up to 1000 records per pagereceivedate (drug), date_created (food), date_received (device); another category's field fails as query_errorvia oral (048), fatal (5), elderly (6)); structured output keeps the codesopenfda_search_animal_events toolsearch over veterinary reports, e.g. animal.species, drug.active_ingredients.name, reaction.veddra_term_name, serious_ae; up to 1000 records per pageMSK on every record, so search by active ingredient; drug.manufacturer.registration_number narrows to one approvalopenfda_search_drug_shortages toolsearch over status (Current / To Be Discontinued / Resolved), therapeutic_category, generic_name, or company_name; up to 1000 records per pageopenfda block carries brand_name, product_ndc, and rxcui for chaining into openfda_get_drug_label or openfda_lookup_ndcopenfda_search_tobacco_reports toolsearch over tobacco_products, reported_health_problems, reported_product_problems, or nonuser_affected; up to 1000 records per pagenumber_tobacco_products, number_health_problems, and number_product_problems countsopenfda_search_recalls toolcategory (drug, food, device) plus endpoint: enforcement (default, every category) or recall (devices only; other categories fail as recall_endpoint_non_device); up to 1000 records per pagerecall_number, classification (Class I/II/III), and status; device recall records carry product_res_number and recall_status instead, with no hazard classificationopenfda_count_values toolendpoint (any of the 20 openFDA endpoints), a count field expression, and an optional search; returns up to 1000 top terms (default 100), ranked by count; a date field returns one term per distinct YYYYMMDD date, ranked the same waytruncated flags more distinct terms past limit, except at the 1000-term maximum, where a notice says completeness can't be known (a date count is exact at any limit, since openFDA sends every date); an expression openFDA can't aggregate fails as not_aggregatable (take the countAs form from openfda_describe_fields)openfda_describe_fields toolendpoint: the same 20 endpoints openfda_count_values acceptstype, a description, and countAs (the verified count expression, or null when the field can't be aggregated), plus queryTips on quoting, AND/OR, .exact, and date rangesopenfda_get_drug_label toolsearch on label fields (openfda.brand_name, openfda.generic_name, openfda.manufacturer_name, set_id); limit defaults to 5, max 1000kind: "outline" (section names and sizes, largest first) instead of label text; re-call with sections: [...] to get those sections plus identity metadata (openfda, set_id, id, effective_time, version), returned whole even when over budget*_table sections render as Markdown tables in the text output; structured results keep the raw SPL markupopenfda_search_drug_approvals toolsearch over openfda.brand_name, sponsor_name (stored uppercase, so a lowercase quoted value matches nothing), submissions.submission_type, or submissions.review_priority; up to 1000 records per pageapplication_number, sponsor_name, products[], and the application's full submissions[] historyopenfda_search_device_clearances toolpathway (510k or pma, one per call) plus an optional search over applicant, product_code, advisory_committee_description, or openfda.device_name; up to 1000 records per pagek_number, device_name, and decision_date; PMA records carry pma_number, trade_name, and supplement_numberopenfda_lookup_ndc toolsearch over product_ndc, brand_name, generic_name, openfda.manufacturer_name, or active_ingredients.name; up to 1000 records per pageproduct_ndc, labeler_name, dosage_form, route, marketing_category, active_ingredients[], and packaging[]openfda_dataframe_describe toolcanvas_id from a staged search; lists each table's name, kind, full staged row_count, and columns with DuckDB type and nullabilitycanvas_disabled when CANVAS_PROVIDER_TYPE=none, or canvas_not_found when the canvas_id has expired or never existedopenfda_dataframe_query toolcanvas_id plus one read-only SELECT; DDL, DML, COPY, and file-reading functions are rejected. Scalars are stored as text (CAST for math) and nested openFDA blocks as JSON columnstruncated: true means page on with ORDER BY plus LIMIT/OFFSET; failures are canvas_disabled, canvas_not_found, missing_table, or invalid_queryopenfda_dataframe_drop toolOPENFDA_DATAFRAME_DROP_ENABLED=true to make it callable; otherwise it is listed as disabled on the landing page and absent from tools/listcanvas_id plus the table name from openfda_dataframe_describe; deletes that one table or view and returns remaining_tables, leaving the canvas and its other tables in placecanvas_disabled, canvas_not_found, or missing_table (already dropped, expired, or mistyped)Built on @cyanheads/mcp-ts-core: stdio and Streamable HTTP transports, pluggable auth (none / jwt / oauth), swappable storage (in-memory, filesystem, Supabase, Cloudflare KV/R2/D1), structured logging with optional OpenTelemetry tracing.
openFDA-specific:
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